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David Feaster
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Surgical-Bleeding-AMAGI
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Collections:

- Name: TSN

  README: configs/recognition/tsn/README.md

  Paper:

    URL: https://arxiv.org/abs/1608.00859

    Title: "Temporal Segment Networks: Towards Good Practices for Deep Action Recognition"

Models:

- Config: configs/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 75

    FLOPs: 134526773248

    Parameters: 23714981

    Pretrained: ImageNet

    Training Data: UCF101

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x3_75e_ucf101_rgb

  Results:

  - Dataset: UCF101

    Metrics:

      Top 1 Accuracy: 83.03

      Top 5 Accuracy: 96.78

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023-d85ab600.pth

- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 32959107072

    Parameters: 23606384

    Pretrained: ImageNet

    Training Data: Diving48

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_video_1x1x8_100e_diving48_rgb

  Results:

  - Dataset: Diving48

    Metrics:

      Top 1 Accuracy: 71.27

      Top 5 Accuracy: 95.74

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/20210426_014138.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/20210426_014138.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/tsn_r50_video_1x1x8_100e_diving48_rgb_20210426-6dde0185.pth

- Config: configs/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 4

    Epochs: 100

    FLOPs: 32959107072

    Parameters: 23606384

    Pretrained: ImageNet

    Training Data: Diving48

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_video_1x1x16_100e_diving48_rgb

  Results:

  - Dataset: Diving48

    Metrics:

      Top 1 Accuracy: 76.75

      Top 5 Accuracy: 96.95

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/20210426_014103.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/20210426_014103.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/tsn_r50_video_1x1x16_100e_diving48_rgb_20210426-63c5f2f7.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 50

    FLOPs: 43048605696

    Parameters: 23612531

    Pretrained: ImageNet

    Training Data: HMDB51

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb

  Results:

  - Dataset: HMDB51

    Metrics:

      Top 1 Accuracy: 48.95

      Top 5 Accuracy: 80.19

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/20201025_231108.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/20201025_231108.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb_20201123-ce6c27ed.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 50

    FLOPs: 43048605696

    Parameters: 23612531

    Pretrained: Kinetics400

    Training Data: HMDB51

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb

  Results:

  - Dataset: HMDB51

    Metrics:

      Top 1 Accuracy: 56.08

      Top 5 Accuracy: 84.31

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/20201108_190805.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/20201108_190805.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb_20201123-7f84701b.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Epochs: 50

    FLOPs: 43048605696

    Parameters: 23612531

    Pretrained: Moments

    Training Data: HMDB51

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x8_50e_hmdb51_mit_rgb

  Results:

  - Dataset: HMDB51

    Metrics:

      Top 1 Accuracy: 54.25

      Top 5 Accuracy: 83.86

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/20201112_170135.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/20201112_170135.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/tsn_r50_1x1x8_50e_hmdb51_mit_rgb_20201123-01526d41.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 102997721600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x3_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.6

      Top 5 Accuracy: 89.26

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/20200614_063526.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/20200614_063526.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/tsn_r50_1x1x3_100e_kinetics400_rgb_20200614-e508be42.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 102997721600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x3_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.42

      Top 5 Accuracy: 89.03

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/20200725_031325.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/20200725_031325.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/tsn_r50_256p_1x1x3_100e_kinetics400_rgb_20200725-22592236.pth

- Config: configs/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 16

    Epochs: 100

    FLOPs: 32959827968

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 24 GPUs

  Modality: RGB

  Name: tsn_r50_dense_1x1x5_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.18

      Top 5 Accuracy: 89.1

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/20200627_105310.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/20200627_105310.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20200627-a063165f.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 134527385600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_r50_320p_1x1x3_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.91

      Top 5 Accuracy: 89.51

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_f3_kinetics400_shortedge_70.9_89.5.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_f3_kinetics400_shortedge_70.9_89.5.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_320p_1x1x3_100e_kinetics400_rgb_20200702-cc665e2a.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 110

    FLOPs: 109881868800

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 16 GPUs

  Modality: Flow

  Name: tsn_r50_320p_1x1x3_110e_kinetics400_flow

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 55.7

      Top 5 Accuracy: 79.85

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_f3_kinetics400_flow_shortedge_55.7_79.9.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_f3_kinetics400_flow_shortedge_55.7_79.9.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_320p_1x1x3_110e_kinetics400_flow_20200705-3036bab6.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 100

    FLOPs: 134527385600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 71.8

      Top 5 Accuracy: 90.17

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/20200815_173413.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/20200815_173413.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/tsn_r50_256p_1x1x8_100e_kinetics400_rgb_20200817-883baf16.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 100

    FLOPs: 134527385600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 24 GPUs

  Modality: RGB

  Name: tsn_r50_320p_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.41

      Top 5 Accuracy: 90.55

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_f8_kinetics400_shortedge_72.4_90.6.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_f8_kinetics400_shortedge_72.4_90.6.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_320p_1x1x8_100e_kinetics400_rgb_20200702-ef80e3d7.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 110

    FLOPs: 109881868800

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: Flow

  Name: tsn_r50_320p_1x1x8_110e_kinetics400_flow

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 57.76

      Top 5 Accuracy: 80.99

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_f8_kinetics400_flow_shortedge_57.8_81.0.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_f8_kinetics400_flow_shortedge_57.8_81.0.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_320p_1x1x8_110e_kinetics400_flow_20200705-1f39486b.pth

- Config: configs/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 102997721600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 71.11

      Top 5 Accuracy: 90.04

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014-5ae1ee79.pth

- Config: configs/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 100

    FLOPs: 32959827968

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_dense_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.77

      Top 5 Accuracy: 89.3

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/20200606_003901.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/20200606_003901.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_dense_1x1x8_100e_kinetics400_rgb_20200606-e925e6e3.pth

- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 134527385600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_video_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 71.14

      Top 5 Accuracy: 89.63

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_100e_kinetics400_rgb.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_100e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_1x1x8_100e_kinetics400_rgb_20200702-568cde33.pth

- Config: configs/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 32959827968

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.4

      Top 5 Accuracy: 89.12

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_dense_100e_kinetics400_rgb.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_dense_100e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb_20200703-0f19175f.pth

- Config: configs/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNeXt101-32x4d [[MMCls](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnext)]

    Batch Size: 16

    Epochs: 100

    FLOPs: 262238208000

    Parameters: 42948304

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.43

      Top 5 Accuracy: 91.01

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb-16a8b561.pth

- Config: configs/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNeXt101-32x4d [[TorchVision](https://github.com/pytorch/vision/)]

    Batch Size: 12

    Epochs: 100

    FLOPs: 255225561600

    Parameters: 27355600

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_dense161_320p_1x1x3_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.78

      Top 5 Accuracy: 90.75

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb-cbe85332.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 102997721600

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

  Modality: RGB

  Name: tsn_omnisource_r50_1x1x3_100e_kinetics_rgb

  Converted From:

    Weights: https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmaction/models/kinetics400/omnisource/tsn_OmniSource_kinetics400_se_rgb_r50_seg3_f1s1_imagenet-4066cb7e.pth

    Code: https://github.com/open-mmlab/mmaction

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.6

      Top 5 Accuracy: 91.0

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_imagenet_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-54192355.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 102997721600

    Parameters: 24327632

    Pretrained: IG-1B

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: tsn_IG1B_pretrained_r50_1x1x3_100e_kinetics_rgb

  Converted From:

    Weights: https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmaction/models/kinetics400/omnisource/tsn_OmniSource_kinetics400_se_rgb_r50_seg3_f1s1_IG1B-25fc136b.pth

    Code: https://github.com/open-mmlab/mmaction/

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.1

      Top 5 Accuracy: 90.4

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_1G1B_pretrained_r50_without_omni_1x1x3_kinetics400_rgb_20200926-c133dd49.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 32

    Epochs: 100

    FLOPs: 102997721600

    Parameters: 24327632

    Pretrained: IG-1B

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: tsn_IG1B_pretrained_omnisource_r50_1x1x3_100e_kinetics_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 75.7

      Top 5 Accuracy: 91.9

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_1G1B_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-2863fed0.pth

- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 100

    FLOPs: 134527795200

    Parameters: 24737432

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-600

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_r50_video_1x1x8_100e_kinetics600_rgb

  Results:

  - Dataset: Kinetics-600

    Metrics:

      Top 1 Accuracy: 74.8

      Top 5 Accuracy: 92.3

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015-4db3c461.pth

- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 100

    FLOPs: 134528000000

    Parameters: 24942332

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-700

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_r50_video_1x1x8_100e_kinetics700_rgb

  Results:

  - Dataset: Kinetics-700

    Metrics:

      Top 1 Accuracy: 61.7

      Top 5 Accuracy: 83.6

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015-e381a6c7.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 16

    Epochs: 50

    FLOPs: 32781541376

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 18.55

      Top 5 Accuracy: 44.8

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_r50_f8_sthv1_18.1_45.0.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_sthv1.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_r50_1x1x8_50e_sthv1_rgb_20200618-061b9195.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 4

    Epochs: 50

    FLOPs: 32781541376

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x16_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 15.77

      Top 5 Accuracy: 39.85

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/20200614_211932.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/20200614_211932.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/tsn_r50_1x1x16_50e_sthv1_rgb_20200614-7e2fe4f1.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 16

    Epochs: 50

    FLOPs: 32959365120

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 256

    Training Data: SthV2

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x8_50e_sthv2_rgb

  Results:

  - Dataset: SthV2

    Metrics:

      Top 1 Accuracy: 28.59

      Top 5 Accuracy: 59.56

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/20210816_221116.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/20210816_221116.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/tsn_r50_1x1x8_50e_sthv2_rgb_20210816-1aafee8f.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 4

    Epochs: 50

    FLOPs: 65918373888

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 256

    Training Data: SthV2

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x16_50e_sthv2_rgb

  Results:

  - Dataset: SthV2

    Metrics:

      Top 1 Accuracy: 20.89

      Top 5 Accuracy: 49.16

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/20210816_225256.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/20210816_225256.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/tsn_r50_1x1x16_50e_sthv2_rgb_20210816-5d23ac6e.pth

- Config: configs/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 16

    Epochs: 100

    FLOPs: 32287070208

    Parameters: 24202643

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: MiT

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_r50_1x1x6_100e_mit_rgb

  Results:

  - Dataset: MiT

    Metrics:

      Top 1 Accuracy: 26.84

      Top 5 Accuracy: 51.6

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_r50_f6_mit_26.8_51.6.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_mit.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_r50_1x1x6_100e_mit_rgb_20200618-d512ab1b.pth

- Config: configs/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet101

    Batch Size: 16

    Epochs: 50

    FLOPs: 51249301504

    Parameters: 43141497

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: MMiT

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_r101_1x1x5_50e_mmit_rgb

  Results:

  - Dataset: MMiT

    Metrics:

      mAP: 61.09

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb/tsn_r101_f6_mmit_61.1.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb/tsn_mmit.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb/tsn_r101_1x1x5_50e_mmit_rgb_20200618-642f450d.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 134526976000

    Parameters: 23917832

    Pretrained: Kinetics400

    Resolution: short-side 320

    Training Data: ActivityNet v1.3

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_320p_1x1x8_50e_activitynet_video_rgb

  Results:

  - Dataset: ActivityNet v1.3

    Metrics:

      Top 1 Accuracy: 73.93

      Top 5 Accuracy: 93.44

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/20210228_223327.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/20210228_223327.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb_20210301-7f8da0c6.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 134526976000

    Parameters: 23917832

    Pretrained: Kinetics400

    Resolution: short-side 320

    Training Data: ActivityNet v1.3

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb

  Results:

  - Dataset: ActivityNet v1.3

    Metrics:

      Top 1 Accuracy: 76.9

      Top 5 Accuracy: 94.47

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/20210217_181313.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/20210217_181313.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb_20210301-c0f04a7e.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 150

    FLOPs: 109881459200

    Parameters: 23939784

    Pretrained: Kinetics400

    Resolution: 340x256

    Training Data: ActivityNet v1.3

    Training Resources: 16 GPUs

  Modality: Flow

  Name: tsn_r50_320p_1x1x8_150e_activitynet_video_flow

  Results:

  - Dataset: ActivityNet v1.3

    Metrics:

      Top 1 Accuracy: 57.51

      Top 5 Accuracy: 83.02

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804-13313f52.pth

- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 150

    FLOPs: 109881459200

    Parameters: 23939784

    Pretrained: Kinetics400

    Resolution: 340x256

    Training Data: ActivityNet v1.3

    Training Resources: 16 GPUs

  Modality: Flow

  Name: tsn_r50_320p_1x1x8_150e_activitynet_clip_flow

  Results:

  - Dataset: ActivityNet v1.3

    Metrics:

      Top 1 Accuracy: 59.51

      Top 5 Accuracy: 82.69

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804-8622cf38.pth

- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_action_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet18

    Batch Size: 32

    Epochs: 100

    FLOPs: 59483309568

    Parameters: 11555619

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: HVU

    Training Resources: 16 GPUs

  Modality: RGB

  Name: tsn_r18_1x1x8_100e_hvu_action_rgb

  Results:

  - Dataset: HVU

    Metrics:

      mAP: 57.5

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027-011b282b.pth

  tag category: action

- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_scene_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet18

    Batch Size: 32

    Epochs: 100

    FLOPs: 59483058176

    Parameters: 11303736

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: HVU

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r18_1x1x8_100e_hvu_scene_rgb

  Results:

  - Dataset: HVU

    Metrics:

      mAP: 55.2

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027-00e5748d.pth

  tag category: scene

- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_object_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet18

    Batch Size: 32

    Epochs: 100

    FLOPs: 59483790336

    Parameters: 12037326

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: HVU

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r18_1x1x8_100e_hvu_object_rgb

  Results:

  - Dataset: HVU

    Metrics:

      mAP: 45.7

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201027.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201027.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201102-24a22f30.pth

  tag category: object

- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_event_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet18

    Batch Size: 32

    Epochs: 100

    FLOPs: 59482966528

    Parameters: 11211909

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: HVU

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r18_1x1x8_100e_hvu_event_rgb

  Results:

  - Dataset: HVU

    Metrics:

      mAP: 63.7

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027-dea8cd71.pth

  tag category: event

- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_concept_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet18

    Batch Size: 32

    Epochs: 100

    FLOPs: 59483790336

    Parameters: 12037326

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: HVU

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r18_1x1x8_100e_hvu_concept_rgb

  Results:

  - Dataset: HVU

    Metrics:

      mAP: 47.5

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027-fc1dd8e3.pth

  tag category: concept

- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_attribute_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: ResNet18

    Batch Size: 32

    Epochs: 100

    FLOPs: 59482991104

    Parameters: 11236533

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: HVU

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsn_r18_1x1x8_100e_hvu_attribute_rgb

  Results:

  - Dataset: HVU

    Metrics:

      mAP: 46.1

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027-0b3b49d2.pth

  tag category: attribute

- Config: configs/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.py

  In Collection: TSN

  Metadata:

    Architecture: Swin Transformer

    Batch Size: 24

    Epochs: 100

    Parameters: 87153224

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics400

    Training Resources: 8 GPUs

  Name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 77.51

      Top 5 Accuracy: 92.92

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb-805380f6.pth